code: def scatter_add(x, idx, m):
      @tf.custom_gradient
      def _lambda(x):
          return scatter_add_real(x, idx, m)
  
      return _lambda(x)
  
imports: import numpy
  import tensorflow
  from ..._sparse_ops import _bwd_segment_cmp, _csrmask, _csrmm, _csrsum, _gsddmm, _gspmm, _scatter_add, _segment_reduce
  from ...base import ALL, is_all
  from ...heterograph_index import create_unitgraph_from_csr
  from .tensor import asnumpy, context, copy_to, tensor, zerocopy_from_numpy
label_desc: Use image node_id 17 for calling a global function with example usage: scatter_add(x, idx, m) and returns: _lambda, scatter_add_real